Senior AI Platform Engineer

Job not on LinkedIn

🔥 1 minute ago

🇪🇸 Spain – Remote

⏰ Full Time

🟠 Senior

🏗️ Platform Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Technosylva

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 1997

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

<Technosylva> is a provider of AI-driven wildfire and extreme weather risk mitigation software that delivers real-time forecasting, predictive simulations, and incident management tools for electric utilities, fire agencies, and insurers. Their cloud-based products (Wildfire Analyst, Tactical Analyst, fiResponse) offer situational awareness, operational decision support, and risk quantification to help customers plan, operate, and respond to wildfire and severe weather events.

📋 Description

• Build and run core AI platform services, including gateway integrations, skills/plugins review pipelines, a curated MCP registry, and cost and observability tooling • Configure, extend and operate the AI gateway for routing, authentication, rate limits, quotas, metadata tagging, and onboarding teams and models • Build and operate automated validation, review gates, versioning and release workflows for skills and plugins • Write and review skills, agents and plugins • Run MCP server intake, security reviews, tool scoping and allowlisting; build internal MCP servers when needed • Implement cost tagging and attribution for token and compute spend, and build dashboards and alerts • Instrument AI services and agents with tracing, metrics and evaluations; monitor latency, errors, quality and cost per request • Set up scoped identities and secrets for agents and automations • Collaborate with Security teams on reviews, incident response, access scoping, audit logging and secrets rotation • Configure model routing rules, fallbacks and load balancing across model providers • Build golden-path templates, CLIs and documentation; support office hours and engineering workshops • Participate in the on-call rotation, handle production incidents and create fixes and runbooks

🎯 Requirements

• 5+ years in software, platform, DevOps or SRE engineering, building and running production services • Hands-on experience with LLM APIs, including tool use, structured outputs, streaming and prompt caching • Practical understanding of differences between LLM providers, including Anthropic Messages and OpenAI-compatible APIs • Experience integrating or configuring an API or LLM gateway, including routing, authentication, rate limiting and tagging • Practical experience building with AI coding agents and extension models, including skills, plugins, MCP servers and hooks • Strong coding skills • Experience with Docker, Kubernetes and infrastructure as code such as Terraform on a major cloud, ideally Azure • CI/CD experience such as GitLab CI, including automated validation and review pipelines • Experience collaborating with Security teams to implement controls, remediate findings and support security reviews • Experience with observability tooling such as OpenTelemetry, Prometheus and Grafana • Experience being on call for production systems

🏖️ Benefits

• Competitive annual salary • Private health insurance • Flexible benefits plan allowing part of the compensation package to be tailored to personal needs • Annual bonus based on individual performance and company results • Flexible working hours • Remote work options